1Getting the Schema Right
Most application performance problems trace back to the database. Bad schema design, missing indexes, or the wrong database choice for your access patterns will haunt you at scale. We design schemas with your actual query patterns in mind, not just what looks clean in an ER diagram. We've worked with PostgreSQL, MySQL, SQL Server, MongoDB, and Redis across projects ranging from simple CRUD apps to multi-tenant SaaS platforms.
2SQL and T-SQL
We write and optimize complex SQL queries, stored procedures, and migration scripts. Our SQL Server and T-SQL experience comes from enterprise .NET projects where query performance directly affected business operations. We handle indexing strategy, transaction isolation, deadlock analysis, and query plan optimization.
3NoSQL When It Fits
MongoDB for document-heavy applications with flexible schemas. Redis for caching, session storage, and job queues. We've used DynamoDB for serverless architectures. The decision between SQL and NoSQL isn't religious. It depends on your data shape, access patterns, and consistency requirements. We help you pick the right tool and structure your data for it properly.
4Migrations and Fixing Slow Databases
We audit existing databases, identify the queries that are actually causing problems (not just the ones that look suspicious), and fix them. That means adding the right indexes, restructuring queries, sometimes denormalizing where read performance matters more than write normalization. For migrations, we plan zero-downtime approaches with rollback strategies.
5Backups and Security
Automated daily backups with point-in-time recovery. Role-based access control so your application doesn't connect with admin credentials. Parameterized queries to prevent SQL injection (this should be obvious, but we still find raw string concatenation in codebases we audit). Encryption at rest for sensitive data columns.
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